Evidence map›Paper›PMID 42818040›Full record

ArticlebioRxiv : the preprint server for biology2026

SCREWx: A Screwless, Chronic, Recoverable, and Lightweight Neuropixels fixture for freely-moving rodents.

Alexandra Cheng, Tate DeWeese, Yue-Qing Zhou, Yotaro Sueoka, Sai Koukuntla, Merrill Green, Kathleen Cullen, James Knierim, Austin Graves, Timothy Harris

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Alexandra ChengDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD.
Tate DeWeeseDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD.
Yue-Qing ZhouDepartment of Neuroscience, Johns Hopkins University, Baltimore, MD.
Yotaro SueokaDepartment of Neuroscience, Johns Hopkins University, Baltimore, MD.
Sai KoukuntlaDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD.
Merrill GreenDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD.
Kathleen CullenDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD.
James KnierimDepartment of Neuroscience, Johns Hopkins University, Baltimore, MD.
Austin GravesDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD.
Timothy HarrisDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD.

Funding

Neuropixels NXT: Integrated Silicon Probes for Large Scale Extracellular Recording in Rodents and PrimatesU01NS115587 · NINDS · JOHNS HOPKINS UNIVERSITY · PI HARRIS, TIMOTHY D · 2020 to 2024
$13.1M
MULTI-SITE ANALYSIS OF HIPPOCAMPAL NEURONAL ENSEMBLESR01NS039456 · NINDS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI JAMES J KNIERIM · 2000 to 2026
$9.1M
NINDS NIH HHS R01 NS039456NINDS NIH HHS U01 NS115587
6 · The paper itself

Abstract

High-density Neuropixels probes enable the study of large neural populations with single-cell and sub-millisecond resolution. While single-probe and acute head-fixed experiments have yielded critical scientific insights, understanding the neural mechanisms underlying many complex behaviors requires simultaneous multi-region recordings in freely moving, chronically implanted animals. Various probe fixtures have been developed to enable high-density recording, but existing designs impose critical limitations: their substantial weight restricts the maximum probe count that smaller animals can support, their bulky dimensions constrain the proximity of targeted brain regions, and their complex assembly risks damaging the probe during insertion and recovery. In this paper, we present a lightweight, fully 3D-printable, compact, and screwless fixture for chronic Neuropixels implants in freely moving rodents that features simple mechanisms for stable implantation and safe extraction. Our fixture design enables stable, high-yield single-unit recordings for months-long experiments, along with an 83% successful probe extraction rate. This fixture design provides a robust and accessible solution for long-term, multi-probe chronic Neuropixels recordings, increasing experimental throughput and enabling more complex experimental designs to investigate brain-wide neural dynamics.

Identifiers

PMID42818040
PMCPMC13621985

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.